Background
[0001] While an electronic system (e.g. a processor), or a component thereof, is often designed
to have a small area footprint and satisfy a low power requirement, it is also important
that the electronic system, or the component thereof, meets desired performance goals
(e.g. performs one or more desired tasks within a certain time limit). For example,
where the electronic system is a processor it may be desirable that the processor
executes instructions within a certain time limit.
[0002] Since it can be costly to discover, only after the electronic system, or the component
thereof, is implemented in hardware (e.g. silicon), that it does not meet desired
performance goals, it is beneficial to assess the performance characteristics of the
hardware design for the electronic system, or the component thereof, prior to implementing
the hardware design in hardware. However, the accuracy of known simulation-based methods
for assessing the performance of a hardware design depends on the underlying model
and the ability to drive sensible stimulus (e.g. through directed tests or indirectly
through executing drivers, operating system boot and other system level tests) to
measure the response.
[0003] The embodiments described below are provided by way of example only and are not limiting
of implementations which solve any or all of the disadvantages of known methods and
systems for assessing the performance of a hardware design.
Summary
[0004] This Summary is provided to introduce a selection of concepts in a simplified form
that are further described below in the Detailed Description. This Summary is not
intended to identify key features or essential features of the claimed subject matter,
nor is it intended to be used as an aid in determining the scope of the claimed subject
matter.
[0005] Described herein are hardware monitors arranged to assess performance of a hardware
design for an integrated circuit to complete a task. The hardware monitors include
monitoring and counting logic configured to count a number of cycles between start
and completion of a symbolic task in the hardware design; and property evaluation
logic configured to evaluate one or more formal properties related to the counted
number of cycles to assess the performance of the hardware design in completing the
symbolic task. The hardware monitors may be used by a formal verification tool to
exhaustively verify that the hardware design meets a desired performance goal and/or
to exhaustively identify a performance metric (e.g. best case and/or worst case performance)
with respect to completion of the task.
[0006] A first aspect provides a hardware monitor arranged to assess performance of a hardware
design for an integrated circuit to complete a task, the hardware monitor comprising:
monitoring and counting logic configured to count a number of cycles between start
and completion of the symbolic task in the hardware design; and property evaluation
logic configured to evaluate one or more formal properties related to the counted
number of cycles to assess the performance of the hardware design in completing the
symbolic task.
[0007] A second aspect provides a method of assessing the performance of a hardware design
for an integrated circuit to complete a task, the method comprising: receiving the
hardware design and a hardware monitor according to the first aspect; formally verifying,
using a formal verification tool, the one or more formal properties hold for the hardware
design; and outputting an indication of whether or not each of the one or more formal
properties was successfully verified, the indication providing an exhaustive assessment
of the performance of the hardware design in completing the task.
[0008] A third aspect provides a system configured to assess performance of a hardware design
for an integrated circuit to complete a task, the system comprising: a memory configured
to store: the hardware design; a formal verification tool; and the hardware monitor
of any of the first aspect; one or more processors configured to: formally verify,
using the formal verification tool, that the one or more formal properties hold for
the hardware design; and output an indication of whether or not each of the one or
more formal properties was successfully verified, the indication providing an exhaustive
assessment of the performance of the hardware design in completing the task.
[0009] There may be provided computer program code for performing a method as described
herein. There may be provided non-transitory computer readable storage medium having
stored thereon computer readable instructions that, when executed at a computer system,
cause the computer system to perform the method as described herein.
[0010] The above features may be combined as appropriate, as would be apparent to a skilled
person, and may be combined with any of the aspects of the examples described herein.
Brief Description of the Drawings
[0011] Examples will now be described, by way of example, with reference to the following
drawings, in which:
FIG. 1 is a block diagram of an example system for assessing the performance of a
hardware design for an integrated circuit to complete a task;
FIG. 2 is a flow diagram of an example method for assessing, using the system of FIG.
1, the performance of a hardware design to complete a task;
FIG. 3 is a block diagram of a first example implementation of the hardware monitor
of FIG. 1;
FIG. 4 is a flow diagram of an example method for assessing, using the hardware monitor
of FIG. 3, the performance of a hardware design to complete a symbolic task;
FIG. 5 is a block diagram of a second example implementation of the hardware monitor
of FIG. 1 to assess the performance of a hardware design for a processor to execute
instructions;
FIG. 6 is a flow diagram of an example method for assessing, using the hardware monitor
of FIG. 5, the performance of a hardware design for a processor to execute instructions;
FIG. 7 is a block diagram of an example computing-based device; and
FIG. 8 is a block diagram of an example integrated circuit manufacturing system.
[0012] The accompanying drawings illustrate various examples. The skilled person will appreciate
that the illustrated element boundaries (e.g., boxes, groups of boxes, or other shapes)
in the drawings represent one example of the boundaries. It may be that in some examples,
one element may be designed as multiple elements or that multiple elements may be
designed as one element. Common reference numerals are used throughout the figures
to indicate similar features.
Detailed Description
[0013] The following description is presented by way of example to enable a person skilled
in the art to make and use the invention. The present invention is not limited to
the embodiments described herein and various modifications to the disclosed embodiments
will be apparent to those skilled in the art.
[0014] Embodiments will now be described by way of example only.
[0015] Embodiments described herein relate to methods, hardware monitors, and systems for
assessing the performance of a hardware design to complete a task using formal verification
(which may be referred to herein simply as "formal"). Assessing the performance of
a hardware design to complete a task may comprise verifying that that the hardware
design meets a performance goal in completing the task and/or identifying a performance
metric for completing the task.
[0016] The term "performance goal" is used herein to mean a quantified objective related
to completion of the task and includes, but is not limited to, completion of the task
within a predetermined number of clock cycles, and, completion of the task by within
a predetermined range of clock cycles. The term "performance metric" is used herein
to mean a measureable criterion related to completing the task, and includes, but
is not limited to, the worst case (or highest) number of clock cycles to complete
the task, and, the best case (or lowest) number of clock cycles to complete the task.
[0017] The hardware monitors described herein are configured to count the number of cycles
(e.g. clock cycles) between the start and completion of the task in the hardware design;
and evaluate one or more formal properties related to the counted number of cycles
to assess the performance of the hardware design in completing the task. A formal
verification tool can then be used to formally verify that the one or more formal
properties holds for all valid states of the hardware design to exhaustively assess
the performance of the hardware design in completing the task.
[0018] In formal verification, the hardware design is transformed into a mathematical model
(e.g. a state-transition system) and the properties to be verified are expressed using
mathematical logic using a precise syntax or a language with a precise mathematical
syntax and semantics. A property is then verified by searching the entire reachable
state space of the hardware design without explicitly traversing the state machine.
Since formal verification algorithmically and exhaustively explores all input values
over time, verifying properties in this manner allows a property to be exhaustively
proved or disproved for all valid states. In the embodiments described herein formal
verification allows exhaustive assessment of the performance of the hardware design
in completing the task. In other words it allows (i) exhaustive verification that
the hardware design meets a performance goal with respect to the task, and/or (ii)
identification of an absolute performance metric with respect to the task.
[0019] Reference is now made to FIG. 1 which illustrates an example system 100 for exhaustively
assessing the performance of a hardware design for an integrated circuit to complete
a task. The system 100 comprises a hardware design 102 for an integrated circuit 104;
a hardware monitor 106 comprising monitoring and counting logic 108 for monitoring
events in the hardware design 102 and counting the number of cycles between a start
event and a stop event, and property evaluation logic 110 for evaluating one or more
formal properties related to the counted number of cycles to assess the performance
of the hardware design 102 in completing the task; and a formal verification tool
112 configured to use the hardware monitor 106 to exhaustively assess the performance
of the hardware design 102 in completing the task.
[0020] The term "hardware design" is used herein to refer to a description of an integrated
circuit for all or part of an electronic system (e.g. a processor) which can be used
to generate a hardware manifestation of the integrated circuit (e.g. the hardware
design may be synthesised into silicon or used to program a field-programmable gate
array (FPGA)). The hardware design may relate to a module, block, unit, sub-system,
system or any combination thereof of an electronic system (e.g. processor).
[0021] The hardware design 102 may be implemented in a high level hardware description language
(HDL), such as, but not limited to, a register transfer language (RTL). Examples of
register transfer languages include, but are not limited to, VHDL (VHSIC Hardware
Description Language) and Verilog. It will be evident to a person of skill in the
art that other high level hardware description languages may be used such as proprietary
high level hardware description languages.
[0022] The integrated circuit 104 defined by the hardware design 102 is configured to perform
one or more tasks. The term "task" is used herein to mean any transaction that is
executed by the integrated circuit 104 that has an identifiable start state and an
identifiable end state. For example, where the integrated circuit forms a pipelined
central processing unit (CPU), a task may include, but is not limited to, completion
of a stage of the pipeline - e.g. fetching an instruction from a memory or an instruction
cache; reconciling branch instructions (e.g. identifying the target of a branch instruction);
decoding a specific instruction; executing a specific instruction; or writing back
the results of an executed instruction to memory or register(s).
[0023] The hardware monitor 106 is a module configured to: monitor the operation of the
hardware design 102 to identify the start and end of a symbolic task; count the number
of cycles (e.g. clock cycles) between start of the symbolic task and end of the symbolic
task; and, assess the performance of the hardware design 102 in performing the symbolic
task based on the counted number of cycles.
[0024] In the example of FIG. 1, the hardware monitor 106 comprises monitoring and counting
logic 108 and property evaluation logic 110. The monitoring and counting logic 108
is configured to monitor one or more control signals and/or data signals of the hardware
design 102 to identify the start and end of a symbolic task; and to count the number
of cycles (e.g. clock cycles) between the start and end of the symbolic task.
[0025] As described above, a task is a transaction executed by the integrated circuit that
has an identifiable start state and an identifiable end state. For example, where
the integrated circuit forms a processor, a task may be execution of an instruction
with a particular operational code (opcode), and the start of the task may be when
an instruction with the particular opcode has been decoded, and the end of the task
may be when the instruction with the particular opcode has been executed. In another
example, where the integrated circuit forms a two input adder which accepts two 32-bit
integer data words a and b and adds them together, a task may be addition of a and
b when a and b are specific values and the start of the task may be when the specific
values appear on the input of the adder, and the end of the task may be when the corresponding
output appears.
[0026] A symbolic task is a means of representing a set or group of tasks using one or more
symbolic variables. As is known to those of skill in the art a symbolic variable represents
a set of, or a plurality of, values (also referred to as scalar values which are defined
by a specific combination of zeros and ones). For example, where the integrated circuit
forms a processor, a symbolic task may be an execution of an instruction with a symbolic
opcode where the symbolic opcode represents all of the possible opcodes (e.g. all
of the possible scalar opcodes). In this way the symbolic task represents execution
of all instructions with any possible opcode. In another example, where the integrated
circuit forms a two input adder which accepts two 32-bit integer data words a and
b and adds them together, a symbolic task may be addition of symbolic input a and
symbolic input b, where the symbolic input a represents all possible values of input
a (e.g. all of the possible scalar inputs) and symbolic input b represents all possible
values of input b (e.g. all of the possible scalar inputs). In this way the symbolic
task represents the addition of all possible input values.
[0027] Accordingly, instead of listing each possible state, using for example the scalar
representation, one at a time, a symbolic variable allows a plurality of states to
be represented or encoded at once. This may allow the state space to be traversed
much more efficiently by considering a number of states at a single step. An example
implementation of the monitoring and counting logic 108 will be described with reference
to FIG. 3.
[0028] The property evaluation logic 110 evaluates one or more formal properties based on
the counted number of cycles to assess the performance of the hardware design 102
in completing the symbolic task. The one or more properties may, for example, be configured
to verify whether a performance goal is met (e.g. that the hardware design 102 always
complete the tasks within a predetermined number of clock cycles) or to identify a
performance metric of the hardware design 102 in completing the task (e.g. the maximum
number of clock cycles to complete the task).
[0029] As is known to those of skill in the art, a formal property is a statement or expression
that captures design behavior. For example, a simple formal property may be
a = b. Within HDL designs, a formal property is an executable statement that checks
for specific behavior within the HDL design. For example, if a design contains a FIFO
(first in first out) buffer a formal property may be that neither overflow nor underflow
of the FIFO may occur.
[0030] Formal properties are used to capture required or desired temporal behavior of the
hardware design in a formal and unambiguous way. The hardware design can then be verified
to determine that it conforms to the required or desired behavior as captured by one
or more properties.
[0031] Formal properties are typically written in an assertion language. An assertion language,
which also may be referred to as a property language, captures the design behavior
over multiple design cycles in a concise, unambiguous manner. While traditional hardware
description languages (HDL), such as VHDL or Verilog RTL, have the ability to capture
individual cycle behavior, they are too detailed to describe properties at a higher
level. In particular, assertion languages provide means to express temporal relationships
and complex design behaviors in a concise manner. Assertion languages include, but
are not limited to, SystemVerilog Assertions (SVA), Property Specification Language
(PSL), Incisive® Assertion Library (IAL), Synopsys® OpenVera™ Assertions (OVA), Symbolic
Trajectory Evaluation (STE), Hardware Property Language (HPL), 0-In®, and Open Verification
Library (OVL).
[0032] A formal property may be asserted or covered. When a formal property is asserted
it must always be true. In contrast, when a property is covered the property must
be true at least once, but is not required to be true always. An asserted property
is said to form an assertion. An example assertion of the property
a = b is
assert property (
a =
b)
. Similarly a covered property is said to form a cover. An example cover of the property
a =
b is
cover property (
a =
b)
.
[0033] Formal properties are typically 'clocked', meaning that they are only evaluated upon
a clock event occurring (e.g. upon the positive edge of a clock signal or the negative
edge of a clock signal). Accordingly, assertions or covers generally indicate which
clock and which clock edge triggers evaluation of the formal property. An example
SVA assertion of the formal property
a =
b is as follows:
assert property (@ (posedge elk) a==b);
[0034] It will be evident to a person of skill in the art that in the example SVA assertion
above the formal property a==b will be evaluated on the positive edge (posedge) of
the clock signal (elk).
[0035] In the system of FIG. 1 the property evaluation logic 110 is configured to evaluate
at least one formal property related to the counted number of cycles (e.g. clock cycles)
between start and end of a symbolic task to verify a performance goal and/or to identify
a performance metric related to the symbolic task.
[0036] Where the system 100 is being used to exhaustively verify that a performance goal
is met then the property evaluation logic 110 may be configured to evaluate an assertion.
In some cases, where the performance goal is that the hardware design 102 always executes
the task within a predetermined number of clock cycles, the property evaluation logic
110 may be configured to evaluate an assertion that asserts that the counted number
of clock cycles is less than the predetermined number of clock cycles. For example,
the property evaluation logic 110 may be configured to evaluate an assertion that
the counted number of clock cycles is less than or equal to N where N is the worst
case allowed performance for the task.
[0037] Where the system 100 is being used to identify a performance metric (e.g. minimum
or maximum number of clock cycles to complete a task) then the property evaluation
logic 110 may be configured to evaluate one or more assertions or covers to identify
the performance metric.
[0038] In some cases, where the system 100 is being used to identify the maximum number
of clock cycles to complete a task then the property evaluation logic 110 may be configured
to evaluate a plurality of covers each of which states that the counted number of
clock cycles is equal to a different number within a range of numbers. For example,
the property evaluation logic 110 may be configured to evaluate a cover that states
the counter is equal to 20, a cover that states the counter is equal to 21, a cover
that states that the counter is equal to 22, and so on up to a cover that states the
counter is equal to 30. In this way, if the worst case performance is likely to be
between 20 and 30 cycles the exact number between 20 and 30 can be identified.
[0039] In other cases, the property evaluation logic 110 may be configured to evaluate a
cover that states that the counter is greater than 20 and less than or equal to 30.
[0040] It will be evident to a person of skill in the art that these are examples only and
that the property evaluation logic 110 may be configured to evaluate any number of
assertions and/or covers to assess the performance of a hardware design in completing
a task (i.e. to verify a performance goal and/or to identify a performance metric).
[0041] The hardware monitor 106 may be implemented in software. For example, the hardware
monitor 106 may be implemented using a hardware description language (HDL) or an assertion
language (e.g. SystemVerilog Assertions (SVA)).
[0042] The hardware monitor 106 is bound to the hardware design 102 to monitor the completion
of tasks. Where the hardware monitor 106 is implemented in SVA and the hardware design
102 is implemented in RTL, the SVA code is bound to the RTL code.
[0043] The hardware design 102 (e.g. RTL), hardware monitor 106 (e.g. SVA), and bindings,
are loaded into a formal verification tool 112. The formal verification tool 112 is
a software tool that is capable of performing formal verification of a hardware design.
Examples of formal verification tools include, but are not limited to, Mentor Graphics
Questa® Formal Verification, Synopsys VC Formal, Cadence® Incisive® Enterprise Verifier,
JasperGold®, and OneSpin 360 DV™.
[0044] Formal verification is a systematic process that uses mathematical reasoning to verify
a property in a hardware design. Formal verification can be contrasted to simulation-based
verification in which a hardware design is tested by applying stimuli to the hardware
design and monitoring the output of the hardware design in response to the stimuli.
[0045] In formal verification the hardware design (e.g. hardware design 102) is transformed
into a mathematical model (e.g. a state-transition system) and the formal properties
(e.g. those evaluated by the property evaluation logic 110) are expressed using mathematical
logic using a precise syntax or a language with a precise mathematical syntax and
semantics.
[0046] A formal property is verified by searching the entire reachable state space of the
hardware design (e.g. state transition system) without explicitly traversing the state
machine. The search is done by, for example, encoding the states using efficient Boolean
encodings using Binary decision diagrams (BDDS), or using advanced SAT (satisfiability-based
bounded model checking) based techniques. In some cases tools can be used to implement
techniques, such as, but not limited to, abstraction, symmetry, symbolic indexing,
and invariants to improve performance and achieve scalability.
[0047] A formal property that is covered is verified by searching the reachable state space
of the hardware design (e.g. state transition system) for at least one valid state
(as defined by formal constraints) in which the property is true. Once a valid state
is found in which the property is true then the searching ceases. In contrast, a formal
property that is asserted is verified by confirming the property is true for all valid
states (as defined by formal constraints). In other words, an asserted property is
verified by searching the reachable state space of the hardware design for a valid
state in which the property is not true. Since formal verification of an asserted
property algorithmically and exhaustively explores all valid input values over time,
verifying an asserted property in this manner allows a property to be exhaustively
proved or disproved for all valid states.
[0048] When the formal verification tool 112 is used to verify an assertion, the formal
verification tool 112 may output an indication of whether or not the assertion is
valid (i.e. is true for all valid states), which may also be referred to herein as
the assertion being successfully verified. The output may be yes the assertion is
valid or has been successfully verified; no the assertion is not valid (i.e. it is
not true or has failed for at least one valid state) or has not been successfully
verified; or the formal verification was inconclusive. The formal verification may
be inconclusive, for example, because the computing-based device running the formal
verification tool 112 has run out of memory or because the formal verification tool
112 has determined that a certain amount of progress has not been made after a predefined
period of time.
[0049] Where an assertion is not valid or has not been successfully verified, the formal
verification tool 112 may output information indicating a state of the hardware design
in which the assertion was false. For example, the formal verification tool 112 may
output a trace of the verification indicating at what point or state the failure occurred.
[0050] The formal verification tool 112 is configured to formally verify the one or more
properties defined in the hardware monitor 106 hold or are true for all of the tasks
covered by the symbolic task. For example, where the symbolic task is execution of
an instruction with a symbolic opcode, the formal verification tool 112 is configured
to formally verify the one or more properties defined in the hardware monitor 106
hold for each possible opcode.
[0051] Reference is now made to FIG. 2 which illustrates a flow diagram of an example method
200 for exhaustively assessing the performance of a hardware design 102 in completing
a task. The method 200 may be implemented on a computing-based device, such as the
computing-based device 700 described below with reference to FIG. 7.
[0052] The method 200 begins at block 202 where the hardware design 102 and the hardware
monitor 106 are received at the computing-based device 700. As described above, the
hardware design 102 defines an integrated circuit to perform one or more tasks; and
the hardware monitor 106 is configured to count the number of cycles (e.g. clock cycles)
between starting and completing a symbolic task, and assess the performance of the
hardware design in completing the task by evaluating one or more formal properties
related to the counted number of cycles (e.g. clock cycles).
[0053] As described above, one or more of the formal properties in the hardware monitor
106 may be asserted and/or one or more of the formal properties in the hardware monitor
106 may be covered. Where a property is asserted it must be true for all possible
states and where a property is covered it must be true at least once, but does not
have to always be true.
[0054] The specific properties and whether they are asserted or covered are configured to
provide an exhaustive assessment of the performance of the hardware design in completing
the task. The assessment may be an exhaustive verification that the hardware design
meets a performance goal (e.g. always completes the task within a predetermined number
of clock cycles); or may be identification of a performance metric (e.g. a minimum
or maximum number of clock cycles to complete the task).
[0055] Once the hardware design 102 and the hardware monitor 106 have been received the
method 200 proceeds to block 204.
[0056] At block 204, the formal verification tool 112, formally verifies that the properties
defined in the hardware monitor 106 hold (or are true) for the hardware design 102.
[0057] Formally verifying an asserted property (i.e. an assertion) comprises verifying that
for all valid states of the hardware design 102 (as defined by the formal constraints)
that the property is true. For example, verifying an assertion that the counted number
of clock cycles is less then N comprises determining whether there is a state of the
hardware design 102 wherein the counted number of clock cycles is greater than or
equal to N.
[0058] Where an asserted property relates to a symbolic variable (e.g. a symbolic task)
formally verifying the asserted property comprises verifying that the property is
true for all valid values of the symbolic variable. In this way the formal verification
tool 112 exhaustively verifies the property for all possible values of the symbolic
variable. For example, where the symbolic task is execution of an instruction with
a symbolic opcode representing all possible opcodes, and the hardware monitor defines
an assertion that the counter (representing the number of clock cycles to execute
the instruction with the symbolic opcode) is less than a predetermined number of clock
cycles, the formal verification tool 112 verifies that for all instructions with a
possible opcode the counter is less than the predetermined number of clock cycles.
If there is even one instruction with any possible opcode where the counter is greater
than or equal to the predetermined number of clock cycles then the assertion will
fail.
[0059] Formally verifying a covered property (i.e. a cover) comprises verifying that there
is at least one valid state of the hardware design 102 (as defined by the formal constraints)
that the property is true. For example, verifying a cover that the counted number
of clock cycles is equal to N comprises determining whether there is a state of the
hardware design 102 wherein the counted number of clock cycles is equal to N.
[0060] Where a covered property relates to a symbolic variable (e.g. a symbolic task) the
cover will be verified if the formal verification tool 112 can identify, for any possible
value of the symbolic variable, that the property is true. For example, where the
symbolic task is an execution of an instruction with a symbolic opcode representing
all possible opcodes, and the hardware monitor 106 defines a cover that the counter
(representing the number of clock cycles to execute the instruction with the symbolic
opcode) is equal to a predetermined number, if the formal verification tool 112 is
able to identify an instruction with any possible opcode where the counter is equal
to the predetermined number then the cover will be verified.
[0061] Once the formal verification ends the method 200 proceeds to block 206.
[0062] At block 206, the formal verification tool 112 outputs an indication of whether the
properties were successfully verified or not. This indication provides an assessment
of the performance of the hardware design 102 in completing the task. As described
above, the indication may: prove that the hardware design 102 meets a performance
goal; and/or identify a performance metric (e.g. the minimum number of clock cycles
to complete the task and/or the maximum number of clock cycles to complete the task).
[0063] Where the property is asserted the formal verification tool 112 may output an indication
that it has been successfully verified (i.e. that it is true for all possible states)
or that it has not been successfully verified (i.e. that it is not true for at least
one state). Where the asserted property has not been successfully verified the formal
verification tool 112 may also output an indication of a state of the hardware design
102 in which the property was not true. Similarly where the property is covered the
formal verification tool 112 may output an indication that it has been successfully
verified (i.e. that it is true for a least one state) or that it has not been successfully
verified (i.e. that it is not true for any state). Where the covered property has
been successfully verified the formal verification tool 112 may also output an indication
of a state of the hardware design 102 in which the property was true.
[0064] Reference is now made to FIG. 3 which illustrates an example implementation of the
hardware monitor 106 of FIG. 1. As described above, the hardware monitor 106 comprises
monitoring and counting logic 108 for counting the cycles (e.g. clock cycles) between
the start and end of a symbolic task in a hardware design 102; and property evaluation
logic 110 for evaluating one or more formal properties based on the count of cycles
(e.g. clock cycles) to assess the performance of the hardware design 102 in completing
the task.
[0065] The monitoring and counting logic 108 comprises start event detection logic 302 for
detecting the start of a symbolic task in the hardware design 102; end event detection
logic 304 for detecting the completion of the symbolic task in the hardware design
102; and counter update logic 306 for counting the number of clock cycles between
the start event and the end event.
[0066] The start event detection logic 302 monitors one or more control signals and/or data
signals of the hardware design 102 to detect a start event indicating the start of
a symbolic task. The specific control signals and/or data signals that will be monitored,
and the status thereof indicating a start event has occurred, will vary depending
on the task being monitored and the configuration of the hardware design 102. For
example, as described in more detail below, where the task is execution of an instruction
by a processor, the start event detection logic 302 may be configured to monitor the
output of a fetch stage or a decode stage of the processor to determine when a symbolic
instruction has been fetched or decoded. When the start event detection logic 302
detects the start event (indicating the start of the symbolic task), the start event
detection logic 302 may set a sampled in register 308 to indicate that the task has
started.
[0067] The end event detection logic 304 monitors one or more control signals and/or data
signals of the hardware design 102 to detect an end event indicating the completion
of the symbolic task in the hardware design 102. The specific control signals and/or
data signals that will be monitored, and the status thereof indicating an end event
has occurred, will vary depending on the task being monitored and the configuration
of the hardware design 102. For example, as described in more detail below, where
the task is execution of an instruction by a processor, the end event detection logic
304 may be configured to monitor the output of an execution stage of the processor
to determine when a symbolic instruction has been executed. When the end event detection
logic 304 detects the end event (indicating completion of the symbolic task) the end
event detection logic 304 may set a sampled out register 310 to indicate that the
task has been completed.
[0068] In some cases, the end event detection logic 304 is configured to only set the sampled
out register if it detects the end event and the start event has already been detected.
The end event detection logic 304 may be configured to determine that the start event
has been detected based on the status of the sampled in register 308. For example,
in some cases, the end event detection logic 304 may be configured to only set the
sampled out register 310 if the end event is detected and the sampled in register
308 is set.
[0069] The counter update logic 306 is configured to count the number of cycles (e.g. clock
cycles) between the start event and the end event. In other words, the counter update
logic 306 counts the number of cycles (e.g. clock cycles) it takes to complete the
symbolic task defined by the start event and the end event.
[0070] The counter update logic 306 may be configured to, each cycle (e.g. clock cycle),
determine whether the start event has been detected (e.g. from the state of the sampled
in register 308). If the start event has been detected then the counter update logic
306 may be configured to determine whether the end event has been detected (e.g. from
the state of the sampled out register 310). If the end event has not been detected
then the counter update logic 306 may increment a counter 312. If, however, the end
event has been detected then the counter update logic 306 does not increment the counter
312.
[0071] The property evaluation logic 110 evaluates (e.g. periodically, such as, each cycle)
one or more properties related to the value of the counter 312 to assess the performance
of the hardware design in completing the task. The assessment may be, for example,
verification that the hardware design always performs the task within a predetermined
number of clock cycles; or identification of a performance metric (e.g. the minimum
and/or maximum number of clock cycles for the hardware design 102 to complete the
task).
[0072] For example, if the hardware monitor is designed to verify that the hardware design
102 always performs the task within N clock cycles then the property may state or
express that the counter 312 is less than or equal to N. As described above, a property
may be asserted or covered. If the property evaluation logic 110 determines that an
asserted property is not true then the property evaluation logic 110 may output an
indication that the property is not true. Conversely, if the property evaluation logic
110 determines that a covered property is true then the property evaluation logic
110 may output an indication that the property is true.
[0073] Although, not shown in FIG. 3, it will be evident to a person of skill in the art
that the logic blocks (e.g. start event detection logic 302, end event detection logic
304, counter update logic 306 and property evaluation logic 110) may be triggered
by a clock. For example, one or more of the logic blocks may be triggered by the rising
or positive edge of the clock. Furthermore, it will be evident to a person of skill
in the art that one or more of the logic blocks (e.g. start event detection logic
302, end event detection logic 304, counter update logic 306 and property evaluation
logic 110) may be combined or their functionality may divided between logic blocks
in another manner.
[0074] Reference is now made to FIG. 4 which illustrates an example method 400 for assessing
the performance of a hardware design in completing a symbolic task which may be implemented
by the hardware monitor 106 of FIG. 3 each cycle (e.g. clock cycle). The method 400
begins at block 402 where the start event detection logic 302 determines whether a
start event has already been detected. The start event detection logic 302 may be
configured to determine whether a start event has already been detected based on the
state of the sampled in register 308. If the start event detection logic 302 determines
that a start event has already been detected then the method proceeds to block 408.
If, however, the start event detection logic 302 determines that a start event has
not already been detected then the method 400 proceeds to block 404.
[0075] At block 404, the start event detection logic 302 determines whether a start event
has occurred in the current cycle (e.g. clock cycle). In some cases determining whether
a start event has occurred in the current cycle (e.g. clock cycle) comprises sampling
one or more controls signals and/or data signals of the hardware design 102 and determining
whether the one or more control signals and/or data signals are in a predetermined
state. The specific control signals and/or data signals, and the state or configuration
thereof, that indicate a start event depends on the particular task being assessed
and the configuration of the hardware design 102.
[0076] If the start event detection logic 302 determines that a start event has occurred
in the current cycle (e.g. clock cycle) then the method 400 proceeds to block 406.
If, however, the start event detection logic 302 determines that a start event has
not occurred in the current cycle (e.g. clock cycle) then the method 400 ends 416.
[0077] At block 406, the start event detection logic 302 sets the sampled in register 308
to indicate that a start event has been detected. In some cases the start event detection
logic 302 is configured to set the sampled in register 308 to "1" to indicate that
a start event has been detected. However, it will be evident to a person of skill
in the art that the sampled in register 308 can be set to any other value to indicate
that a start event has been detected. Once the sampled in register 308 has been set
the method 400 ends 416.
[0078] At block 408, the end event detection logic 304 determines whether an end event has
already been detected. The end event detection logic 304 may be configured to determine
whether an end event has already been detected based on the state of the sampled out
register 310. If the end event detection logic 304 determines that an end event has
already been detected then the method 400 ends 416. If, however, the end event detection
logic 304 determines that an end event has not already been detected then the method
400 proceeds to block 410.
[0079] At block 410, the counter update logic 306 increments the counter 312 to indicate
that one additional cycle (e.g. clock cycle) has elapsed since the start event was
detected and before the end event was detected. Once the counter update logic 306
has incremented the counter 312, the method 400 proceeds to block 412.
[0080] At block 412, the end event detection logic 304 determines whether an end event has
occurred in the current cycle (e.g. clock cycle). In some cases, determining whether
an end event has occurred in the current cycle (e.g. clock cycle) comprises sampling
one or more controls signals and/or data signals and determining whether one or more
control signals and/or data signals are in a predetermined state. The specific control
signals and/or data signals, and the state or configuration thereof, that indicate
an end event depends on the particular task being assessed and the configuration of
the hardware design 102.
[0081] If the end event detection logic 304 determines that an end event has occurred in
the current cycle (e.g. clock cycle) then the method 400 proceeds to block 414. If,
however, the end event detection logic 304 determines that an end event has not occurred
in the current cycle (e.g. clock cycle) then the method 400 ends 416.
[0082] At block 414, the end event detection logic 304 sets the set sampled out register
310 to indicate that an end event has been detected. In some cases the end event detection
logic 304 is configured to set the sampled out register 310 to "1" to indicate that
an end event has been detected. However, it will be evident to a person of skill in
the art that the sampled out register 310 can be set to any other value to indicate
that an end event has been detected. Once the sampled out register 310 has been set
the method 400 ends 416.
[0083] Reference is now made to FIG. 5 which illustrates an example implementation of a
hardware monitor 500 (which can be used as hardware monitor 106 of FIG. 1) for assessing
the performance of a hardware design 502 for a processor 504 in executing instructions.
As is known to those of a skill in the art a processor fetches instructions from a
program, decodes the fetched instructions, executes the decoded instructions, and
stores the results of the executed instructions in memory and/or registers. The hardware
monitor 500, like the hardware monitor 106 of FIGS. 1 and 3, comprises monitoring
and counting logic 514 and property evaluation logic 516.
[0084] The monitoring and counting logic 514, like the monitoring and counting logic 108
of FIGS. 1 and 3, is configured to detect when a start event has occurred and when
a stop event has occurred; and count the number of cycles between the start event
and the stop event. In this example the start event is either when a symbolic instruction
has been fetched or when a symbolic instruction has been decoded, and the end event
is when the symbolic instruction has been executed. The monitoring and counting logic
514 then counts the number of clock cycles between the symbolic instruction being
fetched (or decoded) and the symbolic instruction being executed.
[0085] The monitoring and counting logic 514 comprises start instruction execution detection
logic 518 for detecting that a symbolic instruction has been fetched (or that a symbolic
instruction has been decoded); end instruction execution detection logic 520 for detecting
that the symbolic instruction has been executed; and counter update logic 522 for
counting the number of clock cycles between the fetch/decode of the symbolic instruction
and execution of the symbolic instruction.
[0086] The start instruction execution detection logic 518 is configured to monitor one
or more control signals and/or data signals of the hardware design 502 to detect when
a symbolic instruction has been fetched (or when a symbolic instruction has been detected).
In some examples, the symbolic instruction is an instruction with a particular opcode.
In these examples, the start instruction execution detection logic 518 may be configured
to detect that the symbolic instruction has been fetched/decoded when an instruction
with the particular opcode has been fetched/decoded. In other examples, the symbolic
instruction may be defined by another property, such as instruction address.
[0087] When the start instruction execution detection logic 518 detects the start event
(i.e. that the symbolic instruction has been fetched or decoded) the start instruction
execution detection logic 518 may set a sampled in register 524 to indicate that the
task (execution of the instruction) has started.
[0088] Where the processor 504 is single-threaded, in-order and unpipelined the processor
processes a single instruction at a time (i.e. the processor fetches, decodes, and
executes a single instruction before it fetches, decodes and executes the next instruction)
the start instruction execution detection logic 518 may be configured to detect that
the symbolic instruction has been decoded when the processor is currently decoding
an instruction with the particular opcode. The following is example SVA code for implementing
such start event detection logic where sampled_in is the sampled in register 524,
current_state is the current state of the processor (e.g. fetching, decoding, or executing),
opcode is the opcode of the instruction currently being processed by the processor
504:
always @ (posedge elk or negedge resetn)
if (!resetn)
sampled_in <= 1'b0;
else if ((current_state == decode) && (opcode ==
watched_instruction))
sampled_in <= 1'b1;
[0089] It will be evident to a person of skill in the art that the above SVA code causes
the sampled in register (sampled_in) to be set to zero after a reset (! resetn) and
set to one if the processor is decoding (current_state == decode) an instruction with
the specific opcode (opcode == watched_instruction).
[0090] It will be evident to a person of skill in the art that this is an example only and
that the start instruction execution detection logic 518 may be configured to detect
that a symbolic instruction has been decoded in another manner. For example, in other
examples where the processor is a pipelined processor, the start instruction execution
detection logic 518 may be configured to monitor the output of a decode stage of the
processor to detect when the decode stage outputs an instruction with the specific
opcode (or other specific feature).
[0091] The end instruction execution detection logic 520 is configured to monitor one or
more control signals and/or data signals of the hardware design 502 to detect when
the symbolic instruction has been executed. As described above, in some examples a
symbolic instruction is an instruction with a particular opcode. In these examples,
the end instruction execution detection logic 520 may be configured to detect that
the symbolic instruction has been executed when the instruction with the particular
opcode has been executed. In other examples, the symbolic instruction may be defined
by another property, such as instruction address or other identification information.
[0092] When the end instruction execution detection logic 520 detects the end event (i.e.
that the symbolic instruction has been executed) the end instruction execution detection
logic 520 may set a sampled out register 526 to indicate that the task (execution
of the instruction) has been completed.
[0093] In some cases, the end instruction execution detection logic 520 is configured to
only update the sampled out register 526 if the end event (i.e. execution of the symbolic
instruction) is detected and the start event (i.e. the symbolic instruction has been
fetched/decoded) has already been detected. The end instruction execution detection
logic 520 may be configured to determine that the start event has been detected based
on the status of the sampled in register 524. For example, in some cases, the end
instruction execution detection logic 520 may be configured to only set the sampled
out register 526 if the sampled in register 524 is set and the end event is detected.
[0094] Where the processor is a single-threaded, in-order processor, un-pipelined processor
the processor processes a single instruction at a time the end instruction execution
detection logic 520 may be configured to detect that the symbolic instruction has
been executed when the processor fetches a new instruction. The following is example
SVA code for implementing such end event detection logic where sampled_in is the sampled
in register 524, current_state is the current state of the processor (e.g. fetching,
decoding, executing), and sampled_out is the sampled out register 526:
always @ (posedge elk or negedge resetn)
if (!resetn)
sampled_out <= 1'b0;
else if (sampled_in && (current_state ==
fetch_new_instruction))
sampled_out <= 1'b1;
[0095] It will be evident to a person of skill in the art that the above SVA code causes
the sampled out register (sampled_out) to be set to zero after a reset (! resetn),
and set to one if the processor is fetching a new instruction (current_state == fetch
new instruction) and fetch/decode of the symbolic instruction has already been detected
(sampled_in).
[0096] It will be evident to a person of skill in the art that this is an example only and
the end instruction execution detection logic 520 may be configured to detect that
the symbolic instruction has been executed in another manner. For example, in other
examples where the processor is a pipelined processor, the end instruction execution
detection logic 520 may be configured to monitor the output of an execution stage
of the processor to detect when the execution stage outputs an instruction with the
specific opcode (or other specific feature).
[0097] The counter update logic 522 is configured to count the number of clock cycles between
the start event and the end event - i.e. between the symbolic instruction being fetched/decoded
and the symbolic instruction being executed. In other words, the counter update logic
522 counts the number of clock cycles it takes for the processor to execute the symbolic
instruction.
[0098] The counter update logic 522 may be configured to determine in each clock cycle whether
the start event (i.e. fetch/decode of the symbolic instruction) has been detected
(e.g. from the state of the sampled in register 524). If the start event (i.e. fetch/decode
of the symbolic instruction) has been detected then the counter update logic 522 may
be configured to determine whether the end event (i.e. execution of the symbolic instruction)
has been detected (e.g. from the state of the sampled out register 526). If the end
event (i.e. execution of the symbolic instruction) has not been detected then the
counter update logic 522 may increment a counter 528. If, however, the end event has
been detected then the counter update logic 522 does not increment the counter 528.
[0099] The following is example SVA code for implementing counter update logic 522 that
is configured to increment the counter 528 for each clock cycle in which the sampled
in register 524 is set and the sampled out register 526 is not set. In the example
below sampled_in is the sampled in register 524, sampled_out is the sampled out register
526, and latency_counter is the counter 528:
always @ (posedge elk or negedge resetn)
if (!resetn)
latency_counter <= {CNT_WIDTH{1'b0}};
else if (sampled_in && !sampled_out)
latency_counter <= latency_counter + 1'b1;
[0100] It will be evident to a person of skill in the art that the above SVA code causes
the counter (latency_counter) to be set to zero after a reset (! resetn), and incremented
by one if the sampled in register (sampled_in) is set and the sampled out register
(sampled_out) is not set. It will be evident to a person of skill in the art that
this is an example only and the counter update logic 522 may be configured to update
the counter in another manner.
[0101] The property evaluation logic 516 evaluates (e.g. periodically, such as, each clock
cycle) one or more properties related to the value of the counter 528 to assess the
performance of the hardware design 502 in executing instructions. In some examples
the property evaluation logic 516 may be configured to verify that the hardware design
502 executes instructions within a predetermined number of clock cycles. In these
examples, the property evaluation logic may be configured to evaluate an assertion
that asserts the counter is less than a predetermined number of clock cycles.
[0102] The following is example SVA code for implementing property evaluation logic 516
that evaluates an assertion that the counter is less than a predetermined number of
clock cycles. In the example below latency_counter is the counter 528 and N is the
predetermined number of clock cycles.
'define clk_rst @ (posedge elk) disable iff (!resetn)
assert property ('clk_rst latency_counter < N);
[0103] It will be evident to a person of skill in the art that the above causes the property
evaluation logic to determine for each positive edge of the clock whether the counter
(latency_counter) is less than the predetermined number of clock cycles (N). As described
above, when a formal verification tool 112 formally verifies such an assertion it
will verify for each possible symbolic instruction (e.g. each opcode) that the counter
is less than N. If there is at least one state of the hardware design 502 where the
counter is equal to or greater than N then the assertion will fail. Therefore formal
verification of the assertion can exhaustively verify that the hardware design 502
executes all instructions within N clock cycles.
[0104] During formal verification of the assertion, the formal verification tool 122 typically
stops the verification as soon as it finds a state of the hardware design 502 in which
the assertion fails (i.e. a state in which the counter is greater than or equal to
N). Accordingly, the formal verification tool 112 typically only provides information
on the one state of the hardware design 502 it identified in which the assertion is
not true. Therefore, in some cases, to get more granular feedback (or information)
from the formal verification tool 112, the property evaluation logic 516 may be configured
to evaluation a plurality of assertions which each assert that the property (e.g.
the counter is less than N) is true for a particular symbolic instruction (e.g. a
particular opcode). The formal verification tool 112 will then formally verify each
assertion and provide feedback if any of the assertions fail. This allows the developer
or engineer to know which types of instructions are problematic (e.g. not meeting
the performance goal).
[0105] The following is example SVA code for implementing property evaluation logic 516
that is configured to evaluate an assertion for each possible opcode (in this case
there are 64 possible opcodes) that asserts that when the opcode of the symbolic instruction
is that possible opcode the counter is less than a predetermined number of clock cycles.
In the example below latency_counter is the counter 528 and N is the predetermined
number of clock cycles.
'define clk_rst @ (posedge elk) disable iff (!resetn)
genvar i;
generate for (i=0;i<64;i++) begin: inst_latency
as_latency_check:
assert property ('clk_rst (watched_instruction ==
i) | -> (latency_counter < N));
end
endgenerate
[0106] It will be evident to a person of skill in the art that the above SVA code causes
the property evaluation logic to generate sixty-four assertions that each assert that
when the opcode is a particular value then the counter (latency_counter) is less than
the predetermined number of clock cycles (N). Formal verification of such a set of
assertions can be used to not only prove that the hardware design 502 executes all
instructions within a predetermined number of clock cycles, but, it can also provide
granular feedback of which types of instructions are not being executed within the
predetermined number of clock cycles.
[0107] In other examples, the property evaluation logic 516 may be configured to identify
performance metrics (e.g. best and/or worst case performance) of the hardware design
502 in executing instructions. For example, where the hardware monitor 500 is being
used to identify the maximum number of clock cycles to execute instructions then the
property evaluation logic 516 may be configured to evaluate a plurality of covers
each of which state that the counted number of clock cycles is equal to a different
number within a range of numbers. For example, the property evaluation logic 516 may
be configured to evaluate a cover that states the counter is equal to 20, a cover
that states the counter is equal to 21, a cover that states that the counter is equal
to 22, and so on up to a counter that states the counter is equal to 30. In this way,
if the worst case performance is likely to be between 20 and 30 the exact number between
20 and 30 can be identified.
[0108] The following is example SVA code for implementing property evaluation logic 516
that is configured to evaluate a plurality of covers which each state the counter
is equal to a specific value between 0 and 99 to identify the maximum number of clock
cycles to execute an instruction. In the example latency_counter is the counter 528.
'define clk_rst @ (posedge elk) disable iff (!resetn)
genvar N;
generate for (N=0;N<100;N++) begin
cover property ('clk_rst latency_counter == N)
end
endgenerate
[0109] It will be evident to a person of skill in the art that the above SVA code causes
the property evaluation logic 516 to generate one hundred covers that state that the
counter (latency_counter) is equal to a different value between 0 and ninety-nine.
Formal verification of such a set of covers can be used to identify the maximum number
of clock cycles it takes the hardware design 502 to execute any instruction with any
opcode. In particular, as described above, for a covered property the formal verification
tool 112 searches the state space of the hardware design 102 to identify a state in
which the property is true.
[0110] It will be evident to a person of skill in the art that a similar set of covers could
be used to identify the minimum number of clock cycles it takes the hardware design
502 to execute any instruction with any opcode. Specifically, in order to determine
the minimum number of clock cycles each of the covers would be ANDed with the sampled
out register. In this case the lowest cover which passes is the minimum number of
clock cycles.
[0111] Reference is now made to FIG. 6 which illustrates an example method 600 for assessing
the performance of a hardware design for a processor in executing instructions, which
may be implemented by the hardware monitor 500 of FIG. 5 each clock cycle. The method
600 generally corresponds to method 400 of FIG. 4.
[0112] The method 600 begins at block 602 where the start instruction execution detection
logic 518 determines whether the symbolic instruction has already been fetched (or
decoded) (e.g. based on the state of the sampled in register 524).
[0113] If the symbolic instruction has not already been fetched (or decoded) then at block
604, the start instruction execution detection logic 518 determines whether the symbolic
instruction has been fetched (or decoded) in the current clock cycle (e.g. based on
one or more control signals and/or data signals of the processor). If the start instruction
execution detection logic 518 determines that the symbolic instruction has been fetched/decoded
in the current clock cycle then at block 606 the sampled in register 524 is set to
indicate the start event has been detected, otherwise the method 600 ends 616.
[0114] If the symbolic instruction has already been fetched then at block 608, the end instruction
execution detection logic 520 determines whether the symbolic instruction has already
been executed (e.g. based on the sampled out register 526). If the symbolic instruction
has already been executed then the method 600 ends 616.
[0115] If, however, the symbolic instruction has not already been executed then at block
610 the counter update logic 522 increments the counter 528 to indicate that one more
clock cycle has elapsed since the symbolic instruction has been fetched (or decoded).
Then at block 612 the end instruction execution detection logic 520 determines whether
the symbolic instruction has been executed in the current clock cycle (e.g. based
on one or more control signals and/or data signals of the processor). If the symbolic
instruction has not been executed in the current clock cycle then the method 600 ends
616. Otherwise, at block 614 the end instruction execution detection logic 520 sets
the set sampled out register 526 to indicate that an end event has been detected.
The method 600 then ends 616.
[0116] Although the above examples describe using a hardware monitor 106 or 500 to assess
performance of a hardware design 102 or 502 in completing a task by formally verifying
the properties defined in the hardware monitor 106 or 500 using a formal verification
tool 112, in other examples the hardware monitor 106 or 500 (including the properties
defined therein) may be synthesised into hardware (e.g. an integrated circuit) as
part of, or in connection with, the hardware design 102 or 502. In these examples
the properties of the hardware monitor 106 or 500 act as a monitor during operation
of the hardware (e.g. integrated circuit 104 or processor 504). In particular, during
operation of the hardware (e.g. integrated circuit 104 or processor 504) the hardware
monitor 106 or 500 evaluates the properties (e.g. upon the positive edge of the clock
signal).
[0117] When a hardware monitor 106, 500 is implemented in hardware any symbolic variable
is typically implemented by a register which has a fixed value during operation. The
fixed value may be randomly assigned each time the hardware monitor 106 or 500 is
reset. For example, where a symbolic opcode represents the possible opcodes, the symbolic
opcode may be assigned opcode 0 after a first reset of the hardware monitor 106 or
500, and the symbolic opcode may be assigned opcode 3 after a second reset of the
hardware monitor 106 or 500. Accordingly, after the first reset, the hardware monitor
106. 300, 500, or 700 monitors instructions with opcode 0, and after the second reset,
the hardware monitor 106, or 500 monitors instructions with opcode 3.
[0118] Where the hardware monitor 106 or 500 is implemented in hardware the hardware monitor
106 or 500 may be configured to output information indicating whether or not the properties
are true or not. For example, the hardware monitor 106 or 500 may be configured to,
upon detecting that an asserted property has failed (or is not true), output information
indicating that the assertion has failed and/or the state at which the assertion failed.
Similarly, the hardware monitor 106 or 500 may be configured to, upon detecting that
a covered property is valid (or is true), output information indicating that the cover
is true and/or the state at which the cover was true.
[0119] The output information can provide an assessment of the performance of the hardware
design in completing the task. For example, the information may: indicate that the
hardware design does or does not meet a performance goal; and/or identify a performance
metric (e.g. the minimum number of clock cycles to complete the task and/or the maximum
number of clock cycles to complete the task). This can improve observability by being
able to identify a performance issue as soon as it is triggered. Without such properties
performance issues may only be identified in simulation-based verification or during
operation if it propagates to an observable output and then it is only evident at
the end of the simulation. By using one or more properties, performance can be checked
and assessed instantly, at its source.
[0120] FIG. 7 illustrates various components of an exemplary computing-based device 700
which may be implemented as any form of a computing and/or electronic device, and
in which embodiments of the systems, methods and hardware monitors described above
may be implemented.
[0121] Computing-based device 700 comprises one or more processors 702 which may be microprocessors,
controllers or any other suitable type of processors for processing computer executable
instructions to control the operation of the device in order to assess the performance
of a hardware design in completing a task. In some examples, for example where a system
on a chip architecture is used, the processors 702 may include one or more fixed function
blocks (also referred to as accelerators) which implement a part of the method of
assessing the performance of a hardware design in completing a task in hardware (rather
than software or firmware). Platform software comprising an operating system 704 or
any other suitable platform software may be provided at the computing-based device
to enable application software, such as a formal verification tool 112, to be executed
on the device.
[0122] The computer executable instructions may be provided using any computer-readable
media that is accessible by computing based device 700. Computer-readable media may
include, for example, computer storage media such as memory 706 and communications
media. Computer storage media (i.e. non-transitory machine readable media), such as
memory 706, includes volatile and non-volatile, removable and non-removable media
implemented in any method or technology for storage of information such as computer
readable instructions, data structures, program modules or other data. Computer storage
media includes, but is not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other
memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage,
magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage
devices, or any other non-transmission medium that can be used to store information
for access by a computing device. In contrast, communication media may embody computer
readable instructions, data structures, program modules, or other data in a modulated
data signal, such as a carrier wave, or other transport mechanism. As defined herein,
computer storage media does not include communication media. Although the computer
storage media (i.e. non-transitory machine readable media, e.g. memory 706) is shown
within the computing-based device 700 it will be appreciated that the storage may
be distributed or located remotely and accessed via a network or other communication
link (e.g. using communication interface 708).
[0123] The computing-based device 700 also comprises an input/output controller 710 arranged
to output display information to a display device 712 which may be separate from or
integral to the computing-based device 700. The display information may provide a
graphical user interface. The input/output controller 710 is also arranged to receive
and process input from one or more devices, such as a user input device 714 (e.g.
a mouse or a keyboard). This user input may be used to, for example, initiate formal
verification of the properties define din the hardware monitor 106. In an embodiment
the display device 712 may also act as the user input device 714 if it is a touch
sensitive display device. The input/output controller 710 may also output data to
devices other than the display device, e.g. a locally connected printing device (not
shown in FIG. 7).
[0124] The hardware monitors of FIGS. 3 and 5 are shown as comprising a number of functional
blocks. This is schematic only and is not intended to define a strict division between
different logic elements of such entities. Each functional block may be provided in
any suitable manner. It is to be understood that intermediate values described herein
as being formed by a hardware monitor need not be physically generated by the hardware
monitor at any point and may merely represent logical values which conveniently describe
the processing performed by the hardware monitor between its input and output.
[0125] The terms computer program code and computer readable instructions as used herein
refer to any kind of executable code for processors, including code expressed in a
machine language, an interpreted language or a scripting language. Executable code
includes binary code, machine code, bytecode, code defining an integrated circuit
(such as a hardware description language or netlist), and code expressed in a programming
language code such as C, Java or OpenCL. Executable code may be, for example, any
kind of software, firmware, script, module or library which, when suitably executed,
processed, interpreted, compiled, executed at a virtual machine or other software
environment, cause a processor of the computer system at which the executable code
is supported to perform the tasks specified by the code.
[0126] A processor, computer, or computer system may be any kind of device, machine or dedicated
circuit, or collection or portion thereof, with processing capability such that it
can execute instructions. A processor may be any kind of general purpose or dedicated
processor, such as a CPU, GPU, System-on-chip, state machine, media processor, an
application-specific integrated circuit (ASIC), a programmable logic array, a field-programmable
gate array (FPGA), physics processing units (PPUs), radio processing units (RPUs),
digital signal processors (DSPs), general purpose processors (e.g. a general purpose
GPU), microprocessors, any processing unit which is designed to accelerate tasks outside
of a CPU, etc. A computer or computer system may comprise one or more processors.
Those skilled in the art will realize that such processing capabilities are incorporated
into many different devices and therefore the term 'computer' includes set top boxes,
media players, digital radios, PCs, servers, mobile telephones, personal digital assistants
and many other devices.
[0127] As described above a hardware design, which also may be referred to herein as an
integrated circuit definition data set, describes an integrated circuit to perform
one or more tasks. The hardware design may be implemented in software, such as HDL
(hardware description language). Accordingly, there may be provided a computer readable
storage medium having encoded thereon computer readable program code in the form of
an integrated circuit definition dataset (e.g. hardware design) that when processed
in an integrated circuit manufacturing system configures the system to manufacture
an integrated circuit to perform the one or more tasks.
[0128] An integrated circuit definition dataset may be in the form of computer code, for
example as a netlist, code for configuring a programmable chip, as a hardware description
language defining an integrated circuit at any level, including as register transfer
level (RTL) code, as high-level circuit representations such as Verilog or VHDL, and
as low-level circuit representations such as OASIS (RTM) and GDSII. Higher level representations
which logically define an integrated circuit (such as RTL) may be processed at a computer
system configured for generating a manufacturing definition of an integrated circuit
in the context of a software environment comprising definitions of circuit elements
and rules for combining those elements in order to generate the manufacturing definition
of an integrated circuit so defined by the representation. As is typically the case
with software executing at a computer system so as to define a machine, one or more
intermediate user steps (e.g. providing commands, variables etc.) may be required
in order for a computer system configured for generating a manufacturing definition
of an integrated circuit to execute code defining an integrated circuit so as to generate
the manufacturing definition of that integrated circuit.
[0129] An example of processing an integrated circuit definition dataset at an integrated
circuit manufacturing system so as to configure the system to manufacture an integrated
circuit will now be described with respect to FIG. 8.
[0130] FIG. 8 shows an example of an integrated circuit (IC) manufacturing system 802 which
comprises a layout processing system 804 and an integrated circuit generation system
806. The IC manufacturing system 802 is configured to receive an IC definition dataset
(e.g. a hardware design 102 or 502 defining an integrated circuit to perform one or
more tasks), process the IC definition dataset, and generate an IC according to the
IC definition dataset (e.g. hardware design 102 or 502). The processing of the IC
definition dataset configures the IC manufacturing system 802 to manufacture an integrated
circuit to perform one or more tasks.
[0131] The layout processing system 804 is configured to receive and process the IC definition
dataset to determine a circuit layout. Methods of determining a circuit layout from
an IC definition dataset are known in the art, and for example may involve synthesising
RTL code to determine a gate level representation of a circuit to be generated, e.g.
in terms of logical components (e.g. NAND, NOR, AND, OR, MUX and FLIP-FLOP components).
A circuit layout can be determined from the gate level representation of the circuit
by determining positional information for the logical components. This may be done
automatically or with user involvement in order to optimise the circuit layout. When
the layout processing system 804 has determined the circuit layout it may output a
circuit layout definition to the IC generation system 806. A circuit layout definition
may be, for example, a circuit layout description.
[0132] The IC generation system 806 generates an IC according to the circuit layout definition,
as is known in the art. For example, the IC generation system 806 may implement a
semiconductor device fabrication process to generate the IC, which may involve a multiple-step
sequence of photo lithographic and chemical processing steps during which electronic
circuits are gradually created on a wafer made of semiconducting material. The circuit
layout definition may be in the form of a mask which can be used in a lithographic
process for generating an IC according to the circuit definition. Alternatively, the
circuit layout definition provided to the IC generation system 806 may be in the form
of computer-readable code which the IC generation system 806 can use to form a suitable
mask for use in generating an IC.
[0133] The different processes performed by the IC manufacturing system 802 may be implemented
all in one location, e.g. by one party. Alternatively, the IC manufacturing system
802 may be a distributed system such that some of the processes may be performed at
different locations, and may be performed by different parties. For example, some
of the stages of: (i) synthesising RTL code representing the IC definition dataset
to form a gate level representation of a circuit to be generated, (ii) generating
a circuit layout based on the gate level representation, (iii) forming a mask in accordance
with the circuit layout, and (iv) fabricating an integrated circuit using the mask,
may be performed in different locations and/or by different parties.
[0134] In other examples, processing of the integrated circuit definition dataset at an
integrated circuit manufacturing system may configure the system to manufacture an
integrated circuit without the IC definition dataset being processed so as to determine
a circuit layout. For instance, an integrated circuit definition dataset may define
the configuration of a reconfigurable processor, such as an FPGA, and the processing
of that dataset may configure an IC manufacturing system to generate a reconfigurable
processor having that defined configuration (e.g. by loading configuration data to
the FPGA).
[0135] In some examples, an integrated circuit definition dataset could include software
which runs on hardware defined at the dataset or in combination with hardware defined
at the dataset. In the example shown in FIG. 8, the IC generation system may further
be configured by an integrated circuit definition dataset to, on manufacturing an
integrated circuit, load firmware onto that integrated circuit in accordance with
program code defined at the integrated circuit definition dataset or otherwise provide
program code with the integrated circuit for use with the integrated circuit.
[0136] Those skilled in the art will realize that storage devices utilized to store program
instructions can be distributed across a network. For example, a remote computer may
store an example of the process described as software. A local or terminal computer
may access the remote computer and download a part or all of the software to run the
program. Alternatively, the local computer may download pieces of the software as
needed, or execute some software instructions at the local terminal and some at the
remote computer (or computer network). Those skilled in the art will also realize
that by utilizing conventional techniques known to those skilled in the art that all,
or a portion of the software instructions may be carried out by a dedicated circuit,
such as a DSP, programmable logic array, or the like.
[0137] The methods described herein may be performed by a computer configured with software
in machine readable form stored on a tangible storage medium e.g. in the form of a
computer program comprising computer readable program code for configuring a computer
to perform the constituent portions of described methods or in the form of a computer
program comprising computer program code means adapted to perform all the steps of
any of the methods described herein when the program is run on a computer and where
the computer program may be embodied on a computer readable storage medium. Examples
of tangible (or non-transitory) storage media include disks, thumb drives, memory
cards etc. and do not include propagated signals. The software can be suitable for
execution on a parallel processor or a serial processor such that the method steps
may be carried out in any suitable order, or simultaneously.
[0138] The hardware components described herein may be generated by a non-transitory computer
readable storage medium having encoded thereon computer readable program code.
[0139] Memories storing machine executable data for use in implementing disclosed aspects
can be non-transitory media. Non-transitory media can be volatile or non-volatile.
Examples of volatile non-transitory media include semiconductor-based memory, such
as SRAM or DRAM. Examples of technologies that can be used to implement non-volatile
memory include optical and magnetic memory technologies, flash memory, phase change
memory, resistive RAM.
[0140] A particular reference to "logic" refers to structure that performs a function or
functions. An example of logic includes circuitry that is arranged to perform those
function(s). For example, such circuitry may include transistors and/or other hardware
elements available in a manufacturing process. Such transistors and/or other elements
may be used to form circuitry or structures that implement and/or contain memory,
such as registers, flip flops, or latches, logical operators, such as Boolean operations,
mathematical operators, such as adders, multipliers, or shifters, and interconnect,
by way of example. Such elements may be provided as custom circuits or standard cell
libraries, macros, or at other levels of abstraction. Such elements may be interconnected
in a specific arrangement. Logic may include circuitry that is fixed function and
circuitry can be programmed to perform a function or functions; such programming may
be provided from a firmware or software update or control mechanism. Logic identified
to perform one function may also include logic that implements a constituent function
or sub-process. In an example, hardware logic has circuitry that implements a fixed
function operation, or operations, state machine or process.
[0141] Any range or device value given herein may be extended or altered without losing
the effect sought, as will be apparent to the skilled person.
[0142] It will be understood that the benefits and advantages described above may relate
to one embodiment or may relate to several embodiments. The embodiments are not limited
to those that solve any or all of the stated problems or those that have any or all
of the stated benefits and advantages.
[0143] Any reference to 'an' item refers to one or more of those items. The term 'comprising'
is used herein to mean including the method blocks or elements identified, but that
such blocks or elements do not comprise an exclusive list and an apparatus may contain
additional blocks or elements and a method may contain additional operations or elements.
Furthermore, the blocks, elements and operations are themselves not impliedly closed.
[0144] The steps of the methods described herein may be carried out in any suitable order,
or simultaneously where appropriate. The arrows between boxes in the figures show
one example sequence of method steps but are not intended to exclude other sequences
or the performance of multiple steps in parallel. Additionally, individual blocks
may be deleted from any of the methods without departing from the spirit and scope
of the subject matter described herein. Aspects of any of the examples described above
may be combined with aspects of any of the other examples described to form further
examples without losing the effect sought. Where elements of the figures are shown
connected by arrows, it will be appreciated that these arrows show just one example
flow of communications (including data and control messages) between elements. The
flow between elements may be in either direction or in both directions.
[0145] The applicant hereby discloses in isolation each individual feature described herein
and any combination of two or more such features, to the extent that such features
or combinations are capable of being carried out based on the present specification
as a whole in the light of the common general knowledge of a person skilled in the
art, irrespective of whether such features or combinations of features solve any problems
disclosed herein. In view of the foregoing description it will be evident to a person
skilled in the art that various modifications may be made within the scope of the
invention.
1. A computer-implemented method (200) of assessing the performance of a hardware design
for an integrated circuit to complete a task, the method (200) comprising:
(a) receiving (202) the hardware design (102, 502);
(b) receiving (202) a hardware monitor (106, 500) comprising:
monitoring and counting logic (108, 514) configured to:
monitor one or more control signals and/or data signals of the hardware design (102,
502) to identify start and completion of a symbolic task; and
count a number of cycles between the start and the completion of the symbolic task;
and
property evaluation logic (110, 516) configured to evaluate one or more formal properties
related to the counted number of cycles to assess the performance of the hardware
design (102, 502) in completing the symbolic task;
(c) formally verifying (204), using a formal verification tool, that the one or more
formal properties hold for the hardware design; and
(d) outputting (206) an indication of whether each of the one or more formal properties
was successfully verified, the indication providing an exhaustive assessment of the
performance of the hardware design in completing the task.
2. The method (200) of claim 1, wherein the property evaluation logic (110, 516) is configured
to evaluate the one or more formal properties related to the counted number of cycles
to determine whether the hardware design (104, 504) completes the symbolic task within
a predetermined number of cycles.
3. The method (200) of claim 1, wherein the property evaluation logic (110, 516) is configured
to evaluate the one or more formal properties related to the counted number of cycles
to identify one or more performance metrics of the hardware design (102, 502) in completing
the symbolic task.
4. The method (200) of claim 3, wherein the property evaluation logic (110, 516) is configured
to evaluate one or more covers that state that the counted number of cycles is equal
to a particular number of cycles.
5. The method (200) of claim 4, wherein the property evaluation logic (110, 516) is configured
to evaluate a plurality of covers that each state the counted number of cycles is
equal to a different number of cycles.
6. The method (200) of any of claims 1 to 3, wherein the property evaluation logic (110,
516) is configured to evaluate one or more assertions that state that the counted
number of cycles is less than a predetermined number.
7. The method (200) of claim 6, wherein the symbolic task represents a plurality of different
tasks and the property evaluation logic (110, 516) is configured to evaluate an assertion
for each task of the plurality of different tasks that states that if the task is
that task the counted number of cycles is less than a predetermined number.
8. The method (200) of any preceding claim, wherein the monitoring and counting logic
(108, 514) comprises:
start event detection logic (302, 518) configured to monitor one or more control signals
and/or data signals of the hardware design (102, 502) to detect the start of the symbolic
task, and in response to detecting the start of the symbolic task set a sampled in
register (308, 524);
end event detection logic (304, 520) configured to monitor one or more control signals
and/or data signals of the hardware design (102, 502) to detect completion of the
symbolic task, and in response to detecting completion of the symbolic task when the
sampled in register (308, 524) is set, set a sampled out register (310, 526); and
counter update logic (306, 522) configured to increment a counter (312, 528) that
represents the counted number of cycles when the sampled in register (308, 524) is
set and the sampled out register (310, 526) is not set.
9. The method (200) of any preceding claim, wherein the integrated circuit (504) forms
a processor and,
the monitoring and counting logic (514) is configured to: detect start of the symbolic
task when a symbolic instruction has been fetched or decoded, and detect completion
of the symbolic task when the symbolic instruction has been executed.
10. The method (200) of any preceding claim, further comprising, when the property evaluation
logic is configured to evaluate an assertion and the assertion is not successfully
verified, outputting an indication of a state of the hardware design in which the
assertion is not true.
11. The method (200) of any preceding claim, further comprising, when the property evaluation
logic is configured to evaluate a cover and the cover is successfully verified, outputting
an indication of a state of the hardware design in which the cover is true.
12. The method (200) of any preceding claim, wherein the symbolic task represents a plurality
of different tasks, and formally verifying the one or more formal properties hold
for the hardware design comprises formally verifying that the one or more properties
hold for the hardware design for each of the plurality of different tasks.
13. The method (200) of any preceding claim, further comprising, in response to each of
the one or more formal properties being successfully verified, generating a hardware
manifestation of the integrated circuit based on the hardware design.
14. A system (100) configured to assess performance of a hardware
design (102, 502) for an integrated circuit (104, 504) to complete a task, the system
(100) comprising:
a memory (706) configured to store:
the hardware design (102, 502);
a formal verification tool (112); and
a hardware monitor (106, 500) comprising:
monitoring and counting logic (108, 514) configured to:
monitor one or more control signals and/or data signals of the hardware design to
identify start and completion of a symbolic task; and
count a number of cycles between the start and the completion of the symbolic task;
and
property evaluation logic (110, 516) configured to evaluate one or more formal properties
related to the counted number of cycles to assess the performance of the hardware
design (102, 502) in completing the symbolic task; and
one or more processors (702) configured to:
formally verify, using the formal verification tool (112), that the one or more formal
properties hold for the hardware design (102, 502);
and
output an indication of whether each of the one or more formal properties was successfully
verified, the indication providing an exhaustive assessment of the performance of
the hardware design (102, 502) in completing the task.
15. A hardware monitor (106, 500) for use with a formal verification tool (112) to assess
performance of a hardware design (104) for an integrated circuit (104, 504) to complete
a task, the hardware monitor (106, 500) comprising:
monitoring and counting logic (108, 514) configured to:
monitor one or more control signals and/or data signals of the hardware design (104)
to identify start and completion of a symbolic task; and
count a number of cycles between the start and the completion of the symbolic task;
and
property evaluation logic (110, 516) configured to evaluate one or more formal properties
related to the counted number of cycles to assess the performance of the integrated
circuit (104, 504) in completing the symbolic task.